Ecosystem for dispensing personalized foundation
Abstract
A system is provided that includes a mobile user device that executes an application that determines a skintone of a user, and determines and transmits a recipe for generating a target foundation that is based on a combination of a plurality of separate foundation ingredients that are associated with the skintone of the user. The system includes a dispensing device configured to receive the transmitted recipe from the mobile user device and dispense each of the plurality of separate foundation ingredients onto a common dispensing surface such that when the dispensed amounts of each of the plurality of separate foundation ingredients is blended on the dispensing surface, the target foundation is achieved. The mobile user device is configured to determine a skintone of the user based on features in a detected face of the user in a self-taken image of the user that is captured by a camera of the mobile user device.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1. A system, comprising:
a mobile user device that includes processing circuitry configured to
execute an application that determines a skintone of a user, and
determine and transmit a recipe for generating a target foundation that is based on a combination of a plurality of separate foundation ingredients that are associated with the skintone of the user; and
a dispensing device configured to receive the transmitted recipe from the mobile user device and dispense each of the plurality of separate foundation ingredients onto a common dispensing surface such that when the dispensed amounts of each of the plurality of separate foundation ingredients is blended on the dispensing surface, the target foundation is achieved,
wherein the processing circuitry of the mobile user device is configured to determine a skintone of the user based on features in a detected face of the user in a self-taken image of the user that is captured by a camera of the mobile user device, and
wherein the self-taken image is a 360° video and the processing circuitry of the mobile user device is configured to predict the skintone of the user further based on a deep learning model based on first metadata associated with the self-taken image that includes information of a season and location for when the self-taken image is capture and second metadata that includes historical climate data.
2. The system according to claim 1 , wherein the processing circuitry of the mobile user device is configured to perform face detection of the user's face in a plurality of frames of the video and to predict the skintone of the user based on a median detected skintone in the plurality of frames.
3. The system according claim 1 , wherein the processing circuitry of the mobile user device is configured to perform face detection of the user's face in a plurality of frames of the video and perform a noise prediction assessment in the plurality of frames of the video,
predict the skintone of the user based on a median detected skintone in the plurality of frames when the noise prediction assessment indicates a noise level that is below a threshold, and
request the user to provide information of a previously used foundation to predict the skintone of the user when the noise prediction assessment indicates a noise level that is above a threshold.
4. The system according to claim 1 , wherein the dispensing surface is configured to be part of a detachable portion of the dispensing device and the detachable portion is configured to be an enclosed cosmetic compact container that holds the dispensed cosmetic material, the dispensing device further comprising a manifold, having a plurality of manifold through holes, the manifold connected to and disposed on a nozzle of a cartridge, the dispensing surface being connected to and disposed above the manifold.
5. A method, implemented by a system that includes a mobile user device and a dispensing device, the method comprising:
executing, by the mobile user device, an application that determines a skintone of a user;
determining and transmitting, by the mobile user device, a recipe for generating a target foundation that is based on a combination of a plurality of separate foundation ingredients that are associated with the skintone of the user; and
receiving, by the dispensing device, the transmitted recipe from the mobile user device and dispensing each of the plurality of separate foundation ingredients onto a common dispensing surface such that when the dispensed amounts of each of the plurality of separate foundation ingredients is blended on the dispensing surface, the target foundation is achieved,
wherein the mobile user device determines a skintone of the user based on features in a detected face of the user in a self-taken video of the user that is captured by a camera of the mobile user device, and
wherein the self-taken image is a 360° video and the processing circuitry of the mobile user device is configured to predict the skintone of the user further based on a deep learning model based on first metadata associated with the self-taken image that includes information of a season and location for when the self-taken image is capture and second metadata that includes historical climate data.Cited by (0)
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